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[N] Competition on Meta-learning from Learning Curves (Prizes: 1,000$) - 3 weeks left

​ https://metalearning.chalearn.org/ Link to our competition: https://codalab.lisn.upsaclay.fr/competitions/753 Prizes: 1,000$ Introduction video: https://youtu.be/1rLc9Z0vRzw Medium article: https://medium.com/@hungnm.vnu/meta-learning-from-learning-curves-ieee-wcci-2022-competition-5e1932742644 Artificial learning systems are good at learning to...

[D] Google is killing the Data Scientist

So I've noticed that AutoML is reducing the need for Data Scientists that build models. Shoving data into models can be done by anywho who knows SQL (data analyst, data engineer) and AutoML is MASSIVELY out-performing teams of data scientists. Do you think data science is overhyped right now? Do you think there's a need to build a train models when...

[D] Do the advances in machine learning mean the dawn of theory-free science?

An interesting paper by Laura Spinney in the Guardian about the advent of post-theory or theory-free science, based only on empirical data and machine learning, particularly deep learning. She revisits the famous Chris Anderson's paper of 2008: "The end of theory" published in Wired. submitted by /u/ClaudeCoulombe [link] [comments]

[D] Mathematics research towards machine learning

Hello everyone. I'm a soon to graduate undergrad student, and recently been thinking about pursuing a master's degree. I'm really interested in formal and advanced mathematics, particularly in probabilit theory, probability optimization and stochastic calculus. After my master's I still plan on working with ML for a while and wanted to know if these...

[P] FFCV: Accelerated Model Training via Fast Data Loading

Hi r/MachineLearning! Today we released FFCV (ffcv.io), a library that speeds up machine learning model training by accelerating the data loading and processing pipeline. With FFCV we were able to: Train an ImageNet model (ResNet-18) to 66.9% accuracy *on one GPU* in 35 minutes (98¢/model on AWS) Train an ImageNet model (ResNet-50) to 75.6% accuracy...

[D] Selling my ML pipeline to an entrepeneur. How much should I ask for?

Hey folks, I've been giving some consulting advice to an entrepeneur who is trying to create a computer vision pipeline for businesses. He has been paying a cheap team in India to engineer it, and over time, my hesitations about them turned into an understanding that they don't really know what they are doing. The solution they came up with is so over-engineered,...

[P] Speech Separation Algorithm

I'm working on using an audio wav file as input that would have 2 to 3 people conversing. I have to identify the two different voices. Separate 2 voices. Convert these voices into text and have their transcripts stored. I have gone through huggingface transformers such a web2vec2 and svoice from Facebook research but I find It difficult to implement...

[P] How do we account for ‘confounding due to indication’ while training a model?

Hello community, I have been a newbie to machine learning and recently got involved with building models in health outcomes research. We have a risk prediction and classification model that we trained initially using logistics regression. We found that a very important variable is significantly positively associated with outcome but in reality it should...

[R] Instance-segmentation combined with regression per instance

Hi there. For a project I'm looking into adding a regression head to a Mask R-CNN model. The aim is to predict a continuous variable for each of the detected instances. An example could be to predict the distance to the camera for each of the detected pedestrians. Or the age, weight or height. I wonder if there is any research into this. And what the...

"None of above" problem (Image Classification) [D]

Hello, I would like to know how do you handle the "None of above" problem in multi-class image classification. (None of above problem: If the image does not match any of the classes ) Thank you submitted by /u/CommercialWest7683 [link] [comments]

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